OXFORD-TRAINED SCENARIO PLANNING FOR THE AI ERA We were trained at the University of Oxford in the Oxford Scenario Planning Approach (OSPA) —a rigorous, decision-led method designed to help leaders act with confidence when the future cannot be reliably forecast.

 AI does not create one future. It creates multiple plausible futures—often arriving faster, and in less predictable patterns, than institutions are built to manage.

Scenario planning helps leadership teams answer:

• What AI future are we implicitly planning for—without realizing it?
   
• What breaks if the “assumed” future does not arrive?
   
• Where do we need control, resilience, and optionality—now?
   
• What should we build, buy, partner on, or exit—under different futures?

The Oxford Scenario Planning Approach (OSPA) is a structured way to build a small set of plausible future operating contexts—not predictions—so institutions can reframe assumptions, test decisions, and choose strategies that remain resilient across change.

OSPA is used to:

• Surface hidden assumptions and “default” beliefs about the future
   
• Explore how external forces could combine in disruptive ways
   
• Stress-test strategies, operating models, and risk posture
   
• Identify no-regret moves, strategic options, and clear triggers for action
   

In AI, this is essential: capabilities, regulation, competition, compute, and security risks evolve faster than traditional planning cycles.